Chapter # 03
K Nearest Neighbor (KNN)
Chapter # 03
K Nearest Neighbor (KNN)
Introduction
Introduction (Cont’d)
What is KNN Algorithm?
How Does KNN Learn?
How Does KNN Learn? (Cont’d)
How Does KNN Learn? (Cont’d)
What Happens if the Vote is Tied?
FYI
Building KNN Algorithm
Defining the Task
Define the Learner
Train the Model
Making Predictions using our Model and Evaluating Performance of the Model
Bias-Variance Trade Off – Two Sources of Model Error
Bias-Variance Trade Off – Two Sources of Model Error (Cont’d)
Holdout Cross-validation (CV)
Holdout Cross-validation (CV) (Cont’d)
K-fold CV
K-fold CV (Cont’d)
Leave-One-Out (LOO) CV
Parameters vs Hyperparameters
Parameters vs Hyperparameters (Cont’d)
Questions or Queries
